Apache Spark™ version update

If you do not have the Yandex Cloud CLI yet, install and initialize it.

The folder used by default is the one specified when creating the CLI profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also specify a different folder for any command using --folder-name or --folder-id.

If you access a resource by its name, the search will be limited to the default folder. If you access a resource by its ID, the search will be global, i.e., through all folders based on access permissions.

To change the Apache Spark™ version:

1. View the description of the CLI command for updating a cluster:

   yc managed-spark cluster update --help
   

2. Change the version by running this command:

   yc managed-spark cluster update <cluster_name_or_ID> \
     --spark-version <Apache_Spark_version>
   

   You can get the cluster name and ID with the list of clusters in the folder.

1. Open the current Apache Spark™ configuration file with the infrastructure plan.

   Learn how to create this file in Creating a cluster.

2. Edit the spark_version parameter in the cluster's description:

   resource "yandex_spark_cluster" "<cluster_name>" {
     ...
     config = {
       ...
       spark_version = "<Apache_Spark_version>"
       ...
     }
     ...
   }
   

3. Make sure the settings are correct.

   1. In the command line, navigate to the directory that contains the current Terraform configuration files defining the infrastructure.

   2. Run this command:

      terraform validate
      

      Terraform will show any errors found in your configuration files.

4. Confirm updating the resources.

   1. Run this command to view the planned changes:

      terraform plan
      

      If you described the configuration correctly, the terminal will display a list of the resources to update and their parameters. This is a verification step that does not apply changes to your resources.

   2. If everything looks correct, apply the changes:

      1. Run this command:

         terraform apply
         

      2. Confirm updating the resources.

      3. Wait for the operation to complete.

1. Get an IAM token for API authentication and put it into an environment variable:

   export IAM_TOKEN="<IAM_token>"
   

2. Clone the cloudapi repository:

   cd ~/ && git clone --depth=1 https://github.com/yandex-cloud/cloudapi
   

   Below, we assume that the repository contents reside in the ~/cloudapi/ directory.

3. Create a file named body.json and paste the following code into it:

   {
     "cluster_id": "<cluster_ID>",
     "update_mask": {
       "paths": [
         "config_spec.spark_version"
       ]
     },
     "config_spec": {
       "spark_version": "<Apache_Spark_version>"
     }
   }
   

   Where:

   • cluster_id: Cluster ID.

     You can get the cluster ID with the list of clusters in the folder.

   • update_mask: List of parameters to update as an array of strings (paths[]).

     Format for listing settings

     "update_mask": {
       "paths": [
         "<setting_1>",
         "<setting_2>",
         ...
         "<setting_N>"
       ]
     }
     

     Warning

     When you update a cluster, all parameters of the object you are modifying will be reset to their defaults unless explicitly provided in the request. To avoid this, list the settings you want to change in the update_mask parameter.

   • spark_version: Apache Spark™ version.

4. Call the ClusterService.Update method, e.g., via the following gRPCurl request:

   grpcurl \
     -format json \
     -import-path ~/cloudapi/ \
     -import-path ~/cloudapi/third_party/googleapis/ \
     -proto ~/cloudapi/yandex/cloud/spark/v1/cluster_service.proto \
     -rpc-header "Authorization: Bearer $IAM_TOKEN" \
     -d @ \
     spark.api.cloud.yandex.net:443 \
     yandex.cloud.spark.v1.ClusterService.Update \
     < body.json
   

5. Check the server response to make sure your request was successful.

1. Set up an environment with the Apache Spark™ version you need.

2. Get an IAM token for API authentication and put it into an environment variable:

   export IAM_TOKEN="<IAM_token>"
   

3. Clone the cloudapi repository:

   cd ~/ && git clone --depth=1 https://github.com/yandex-cloud/cloudapi
   

   Below, we assume that the repository contents reside in the ~/cloudapi/ directory.

4. Create a file named body.json and paste the following code into it:

   {
     "cluster_id": "<cluster_ID>",
     "update_mask": {
       "paths": [
         "config_spec.environment_id"
       ]
     },
     "config_spec": {
       "environment_id": "<environment_ID>"
     }
   }
   

   Where:

   • cluster_id: Cluster ID. You can get it with the list of clusters in the folder.
   • environment_id: ID of the environment with the Apache Spark™ version you need. Call the EnvironmentService/List method to get the custom environment ID or EnvironmentService/ListBase to get the base environment ID.

5. Call the ClusterService/Update method, e.g., via the following gRPCurl request:

   grpcurl \
     -format json \
     -import-path ~/cloudapi/ \
     -import-path ~/cloudapi/third_party/googleapis/ \
     -proto ~/cloudapi/yandex/cloud/spark/v1/cluster_service.proto \
     -rpc-header "Authorization: Bearer $IAM_TOKEN" \
     -d @ \
     spark.api.cloud.yandex.net:443 \
     yandex.cloud.spark.v1.ClusterService.Update \
     < body.json
   

6. Check the server response to make sure your request was successful.